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❤14

Channel
@CSLiu3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
78,390subscribers
+23,063 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002442214952 |
|---|---|
| Type | Channel |
| Username | @CSLiu3 |
| Description | 本频道:出击报告&长沙电报吃瓜 交流群: @Xunhua0731 地下说唱: @CSLiuSan 联系柳三: @LiuSMBot |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/CSLiu3 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 64% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 06:18 | 78,390 | +3,184 |
| 18 Sept 2026, 22:59 | 75,206 | +1,255 |
| 16 Sept 2026, 16:38 | 73,951 | +1,159 |
| 14 Sept 2026, 16:55 | 72,792 | +731 |
| 13 Sept 2026, 04:36 | 72,061 | +688 |
| 11 Sept 2026, 04:59 | 71,373 | +2,108 |
| 8 Sept 2026, 08:20 | 69,265 | +1,867 |
| 5 Sept 2026, 02:36 | 67,398 | +900 |
| 3 Sept 2026, 09:52 | 66,498 | +602 |
| 2 Sept 2026, 01:43 | 65,896 | +419 |
| 1 Sept 2026, 03:36 | 65,477 | +443 |
| 31 Aug 2026, 05:13 | 65,034 | +564 |
| 30 Aug 2026, 01:43 | 64,470 | +334 |
| 29 Aug 2026, 03:38 | 64,136 | +546 |
| 28 Aug 2026, 01:53 | 63,590 | +439 |
| 27 Aug 2026, 00:07 | 63,151 | +483 |
| 25 Aug 2026, 22:34 | 62,668 | +289 |
| 24 Aug 2026, 23:07 | 62,379 | +467 |
| 23 Aug 2026, 12:38 | 61,912 | +561 |
| 21 Aug 2026, 22:14 | 61,351 | first reading |
89 posts held, back to 2 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 110 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 89 (2 August 2026 – 29 September 2026) |
| Views total | 348,590 |
| Reactions total | 901 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 13:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 24 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
1,621 reactions across 89 posts, in 13 distinct kinds. The most used accounts for 70.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,142 | 70.5% | |
| 👍 | 295 | 18.2% | |
| 😱 | 71 | 4.38% | |
| 👎 | 21 | 1.30% | |
| 😨 | 20 | 1.23% | |
| 🤡 | 16 | 0.987% | |
| 🤣 | 15 | 0.925% | |
| 👏 | 14 | 0.864% | |
| 🔥 | 12 | 0.74% | |
| 💩 | 7 | 0.432% | |
| 😁 | 3 | 0.185% | |
| 🥰 | 3 | 0.185% | |
| 🤓 | 2 | 0.123% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 89 of the 89 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,621 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 2 August 2026 to 29 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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❤14
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❤24👍6
一个群的命运啊,当然要靠群老板的自我奋斗,但是也要考虑历史的进程。 前些日子,长沙几大收费群联手发了一篇公告,要求所有老师都不允许在自己的频道里放任何群的链接。 前情提要见《无聊,我要看到血流成河》 当时柳三也是好奇,这么一篇明摆着是废纸的玩意发出来是要干嘛呢? 然后,今天终于搞清楚前因后果了,带大家吃明白这个瓜。 简单来说,就是有个貌似很有实力的大老板(晒了一张钱包里180万u的截图),做了一个新群叫“春香阁”。 长沙每年总会冒出来几个新群,但是这个市场就这么卷,大部分新群都是大张旗鼓地来,灰头土脸地走——除了养活了若干讨口子。 但春香阁的老板看起来似乎是有点实力(不管是经济实力还是技术实力),简单来说,为了拉老师上榜,他们家投了若干机器人轰炸机,一天无数次骚扰让老师过去挂榜。 当然,上新群肯定是有点优惠的,承诺给新上榜的老师免两个月榜费。 如果老师不去他那儿挂榜——反正他机器人有的是,继续轰炸就是了。 这事儿地道不…
❤43👍4🔥1
“夜场三部曲”完结啦! 第一部 私影MMK 《入身容易入心难》 “她收过你的白嫖券,你也说过你会娶她。后来才发现,有些门进去了,心却永远进不去。” 第二部 92SPA 《699的温柔》 “你对别人…也这样吗?” 第三部 商K MMC 《化在怀里的糖》 “像颗糖一样化在我怀里的那个姑娘,我什么都给不了她。” 从第一首开始的时候就想做成一个系列,今天终于做完了,《入身容易入心难》以后有空了再补一个正式版的MV吧。 点击歌名可以直接转过去听歌。 #长沙地下说唱
❤8
大G第一个来 也是最早看明白就走 铁枪以为自己最懂爱 结果是一条疯狗 奶白从头舔到尾 钱花了人没得到还成小丑 夏恩呢 周旋在无数男人之间 她得心应手 《四角恋罗生门》Official Music Video 制作人 Producer|柳三秒 @liu3miao 故事 Original Story|枪之恶魔 画面 Original Image|武汉新闻频道WHCJ 特别鸣谢 Special Thanks|Suno Ai #长沙地下说唱
❤11
去野旅行 全网内部底价,资源涵盖出行、住宿、娱乐及定制化伴游,渠道稳定,支持官方比对,全方位满足各类高端与“个性化需求”。 业务板块包含 💯交通出行[特价机票车票] 国内外车票及机票代订。 可为征信异常、黑名单群体提供绿色通道出票服务,无视征信,祝您出行! 👑酒店住宿 各大城市星级酒店、度假酒店预订。保证低价! 提供正规“代开房”及行程单据服务,隐私安全,渠道可靠。 飞机包机服务,支持单人私密行程或团队大规模包机定制。 💎文娱演出 热门演唱会、音乐节特价门票。 各大城市剧院演出、话剧特价门票。 旅行社内部团票,量大从优。 🤩度假旅行 全包式旅游团,涵盖餐饮、住宿、景区游玩一站式服务。 支持定制私家团、小包团路线。 💵交易与保障说明: 所有业务均走安全渠道,支持主流支付方式。价格全网最低,欢迎各大同行、中介及个人老板对接长期合作。 🤙联系方式 业务的频道: @quyeaaa 唯一官方客服:@quyekf1 双向私信这里: …
❤11👍2🔥1
看到牢俏在那感叹自己太过追逐流量,是因为焦虑于“没流量就没有客人”,柳三就忍不住想做回老好人了。 本文的核心思想就是一句话:对于想长期吃这碗饭的妹子,其实只需要维护一个不到100人的熟客圈子就够了。 对于老师来说,流量绝对不是越多越好的。因为你曝光再多,你也只有一个逼,每天拢共也只能接那么多客人——按照自己也不累,身体长期可坚持的前提,每天平均接6个,是一个很均衡的状态了。 曝光太高,引来一堆人问,消息都回不过来,其实反而会在排课上浪费太多的时间和精力。 尤其是,像牢俏这种动不动还搞个直播的,频道反而会招来一堆不敢嫖或者嫖不起,只来看热闹打飞机的人——十个人里有一个过来问一嘴,都够你受了。 最合理的状态,就是维持频道在一千人左右的订阅,每天的6个客人里,4个熟客,2个生客。这样就足够你很轻松地吃这碗饭了。 生客太多,除了需要大量的聊天沟通以外,还要担心遭遇各种奇葩、鸽子、骗子、抢劫或者钓鱼执法。沟通成本和风险都会失控。 而…
👍56❤18👎1
“你都不想我呀。” 消息蹦出来的时候,我已经在忍不住微笑,我的脑海里已经浮现出晗晗的脸来,带着她标志性的笑,像一只快乐的小狗。 我当然有想到她,只不过我太知道休息的时候被打扰是什么感觉,所以我也不会主动去打扰别人。 再见到她的时候,果然如她自己所说,是胖了。 晗晗本身就是那种大骨架的北方妹子,这一胖起来自然是立竿见影,她穿着一身黑色的绸质睡衣,一见面就带着憨憨的傻笑。 我抱着她,下一秒就是让人几乎要透不过气的一阵缠绵的舌吻。 她喜欢舌吻的时候伸出舌头来,把自己绵软的舌头让人吃个够,这种程度的大蟒蛇真的让人很有满足感。 我把她推倒在床上:“你要再不出现的话,我都要以为你已经上岸了。” 她笑,但可能不是在笑我说的话,而是现在我硬邦邦的棒子就那么戳在了她的肚子上。 我趴在她胸口——现在她的胸显得更大了。她叫我把口子解开,于是随着一颗颗睡衣扣子解开,我也埋头在她的胸口舔舐吮吸起来。 直到我要把她扒光了,她才有些不好意思地催促我们一起…
❤22
❤️❤️❤️WPK星城汇俱乐部 🥰 一积分=一毛| 娱乐局 俱乐部ID: ❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️ 🎁 首充福利 首充500送100 ⚡️⚡️⚡️⚡️ 首充2000送500 ⚡️⚡️⚡️⚡️ 👑 专属福利 满688手,介绍新客户送28 满888手,进VIP群领58红包 📌 下分要求❤️❤️❤️❤️ 随时可下分 当天下一次 ❤️❤️❤️❤️ 诚招优质代理 @ajie123000 ❤️ 永久网址: https://web.wpk180.com/ 网页版:https://h5.wpk.com/ 😀😀😀😀😀😀😀三条客服号:225588csc 😀😀😀😀😀😀😀飞机客服号: @ajie123000
❤9👍1
小雪:一袋米要抗几楼 又是一次打卡之旅,其实很早就想找小雪了,毕竟是岳麓区的老师,早就在柳三的射程范围内了。 不过彼时在20出击的时候,6张算是高价了,而且那时候柳三还是非舌吻不出击的,所以小雪就不在我的选择范围了。 时过境迁,6张的定价已经遍地都是,这时候也就不觉得有多不可接受了。 更何况这段时间小雪还在做活动减一张——你看,巧了么不是。 小雪的真人还是挺对版的,基本就和照片一样了,只不过妆没那么精致,看起来气色也没那么好。而且我去的时候人都上了一天班了,看起来是很疲惫了。 她穿着一件修身的旗袍,把曲线展露得淋漓尽致,似乎是真空的,但是奶子居然完全几乎没下垂。 在少妇这个年级,这就算是天赋异禀了吧,不过这会儿衣服没脱还不好说。 她说她现在又开双飞了,我就想起她之前跟婉婉一起开双飞,据说因为人老实,每次都是她挨操。 于是我好奇问了一下现在双飞是和谁搭档,她说是她表姐,不过表姐没在电报上榜。 毕竟是资深老师了,小雪驾轻就熟…
❤15👍1
【昵称】:小雪 【标签】:一袋米要抗几楼 【年龄】:28 【身高】:160 【身材】:C~D 【课表】:口 做 共浴 92服务 真毒龙钻 【人照对版】:人照基本一致,真大奶少妇,身材保养得不错 车牌: https://t.me/fk0731/17472
❤13
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❤11
Showing the 12 most recent of 89 posts we hold for @CSLiu3. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@CSLiu3 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.
“长沙寻花问柳三秒” (@CSLiu3), 78,390 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/CSLiu3.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.